Investigation of the Agreement between Glucose Meters Used for Glucose Measurement and Central Laboratory Measurements

Purpose: Blood glucose measurement is of great importance in preventing complications and reducing mortality and morbidity for several diseases. Glucometers are used by any healthcare professionals. We conducted this study to show the compatibility between glucometers and autoanalyzers as a basis for hospital procurement. Materials and Methods: Fourty seven venous samples were used. Correlation, Passing Bablok regression analysis, and Bland-Altman difference plot were used to evaluate the results (glucometers and autoanalyzer). Clarke Error Grid analysis was used to assess the clinical agreement (p<0.05). Results: The correlation coefficient for G1 was 0.9294 (p<0.001; 95% CI: 0.8761-0.9603) and 0.9473 (p<0.001; 95% CI: 0.9069-0.9705) for G2. Regression equations were G1 y=1.1235x+3.4662 G2 y=0.8846x+10.0076. In Clarke Error Grid analysis, the criterion of 99% of the data being in zone A or B was met for both glucometers. Conclusion: According to the relevant document, based on the result obtained with the reference method as the target value, 95% of all results less than 100 mg/dl should be within ±12 mg/dl of the target value. 95% of all results above 100 mg/dl should be within ±12.5% of the target value. In addition, the ratio of the sum of results less than 75 mg/dl exceeding ±15 mg/dl and results greater than 75 mg/dl exceeding ±20% of the target value to all results should be less than 2%. Glucometers didn’t fully meet the performance targets. We think that glucometer analysis results should be closely monitored and verified after procurement.

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Publication Details

Journal
Ahi Evran Medical Journal
Published
2025-04-21
DOI
https://doi.org/10.46332/aemj.1456343
Primary Topic
Hyperglycemia and glycemic control in critically ill and hospitalized patients
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article
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article

Investigation of the Agreement between Glucose Meters Used for Glucose Measurement and Central Laboratory Measurements

Esra Yılmaz, Mehmet Çingirt, Bayram Şen, Medeni Arpa
Ahi Evran Medical Journal
Hyperglycemia and glycemic control in critically ill and hospitalized patients
article

Investigation of the Agreement between Glucose Meters Used for Glucose Measurement and Central Laboratory Measurements

Esra Yılmaz, Mehmet Çingirt, Bayram Şen, Medeni Arpa
article en

Abstract

Purpose: Blood glucose measurement is of great importance in preventing complications and reducing mortality and morbidity for several diseases. Glucometers are used by any healthcare professionals. We conducted this study to show the compatibility between glucometers and autoanalyzers as a basis for hospital procurement. Materials and Methods: Fourty seven venous samples were used. Correlation, Passing Bablok regression analysis, and Bland-Altman difference plot were used to evaluate the results (glucometers and autoanalyzer). Clarke Error Grid analysis was used to assess the clinical agreement (p<0.05). Results: The correlation coefficient for G1 was 0.9294 (p<0.001; 95% CI: 0.8761-0.9603) and 0.9473 (p<0.001; 95% CI: 0.9069-0.9705) for G2. Regression equations were G1 y=1.1235x+3.4662 G2 y=0.8846x+10.0076. In Clarke Error Grid analysis, the criterion of 99% of the data being in zone A or B was met for both glucometers. Conclusion: According to the relevant document, based on the result obtained with the reference method as the target value, 95% of all results less than 100 mg/dl should be within ±12 mg/dl of the target value. 95% of all results above 100 mg/dl should be within ±12.5% of the target value. In addition, the ratio of the sum of results less than 75 mg/dl exceeding ±15 mg/dl and results greater than 75 mg/dl exceeding ±20% of the target value to all results should be less than 2%. Glucometers didn’t fully meet the performance targets. We think that glucometer analysis results should be closely monitored and verified after procurement.

Ahi Evran Medical JournalVol. 9(1)
Recep Tayyip Erdoğan University (TR)
Openalex Percentile: Top 88%
Hyperglycemia and glycemic control in critically ill and hospitalized patients
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